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2005•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Position weighted time delay of arrival(TDOA) algorithm

Nancy A. Breaux

Open publisher page 2 citations

Abstract

An algorithm for solving the simultaneous hyperbolic equations that arise in multilateration using time difference of arrival measurements (TDOA) is presented. This weighted, non-iterative algorithm is able to reduce error by more than 50% over unweighted variations of the algorithm. This algorithm was developed for use in a passive multistatic sensor network. By using low gain antennas and TDOA, we are able to provide platforms with situational awareness while maintaining a low RCS.

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What this paper is about

An algorithm for solving the simultaneous hyperbolic equations that arise in multilateration using time difference of arrival measurements (TDOA) is presented. This weighted, non-iterative algorithm is able to reduce error by more than 50% over unweighted variations of the algorithm. This algorithm was developed for use in a passive multistatic sensor network. By using low gain antennas and TDOA, we are able to provide platforms with situational awareness while maintaining a low RCS.

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Available abstract

An algorithm for solving the simultaneous hyperbolic equations that arise in multilateration using time difference of arrival measurements (TDOA) is presented. This weighted, non-iterative algorithm is able to reduce error by more than 50% over unweighted variations of the algorithm. This algorithm was developed for use in a passive multistatic sensor network. By using low gain antennas and TDOA, we are able to provide platforms with situational awareness while maintaining a low RCS.

Key concepts: Multilateration, FDOA, Algorithm, Computer science, Position (finance), Time of arrival, Iterative method, Arrival time

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